101 to 125 of 4,148 Python Jobs in London

Deliver technical excellence and build game-changing solutions – Design robust, scalable full-stack applications using Java/Springboot, C#/.NET, Python and REACT , drive architectural decisions, establish technical standards, and lead exploration of AI/ML integration opportunities that transform workflows Offer influence and mentorship – Partner with product managers … hands-on experience building enterprise applications, with expert-level proficiency in Java/Springboot and/or C#/.NET, good familiarity with Python, REACT and modern web technologies in production environments. Architectural mastery and technical depth – Proven track record of designing maintainable, scalable systems; excellent understanding of software architecture ...

successful in this role, you will need a blend of the following engineering and data science capabilities: Core Development: Proficiency in Python, JavaScript, and Java, alongside modern frameworks (React, Redux, Vue, or Angular). Data Science & ML: Solid understanding of common ML techniques, trade-offs, and scalable ML architecture (MapReduce ...

developing full stack applications using modern front-end and back-end technologies. Strong programming skills in languages such as JavaScript/TypeScript, Java, C#, Python, or Node.js. Experience with front-end frameworks such as React, Angular, or Vue.js. Experience building and consuming RESTful APIs and microservices. Knowledge of software engineering ...

implementing AI-driven solutions Excellent problem-solving skills and the ability to design and optimize data architectures Strong programming skills in languages such as Python, Scala, or Java Experience with data quality, data governance, and data security best practices Excellent communication and collaboration skills, with the ability to work effectively ...

experience designing and implementing production-grade platforms using Azure DatabricksExpertise in PySpark, including advanced optimization, data skew mitigation and query tuningStrong programming skills in Python with knowledge of modern software design principlesPractical experience with structured streaming, Delta Lake and Delta Live TablesProven experience in Lakehouse migration and modernization using open ...

Lake Storage, Azure Data Factory, Azure Databricks, MS Fabric ETL/ELT processes and designing, building and testing data pipelines Building data transformations using Python/PySpark Azure Cloud Version control and CI/CD tools, specifically Azure DevOps Service Analytics and MI products including MS Power BI Data catalogue ...

quantitative modelling, software engineering, or applied research. Strong software engineering skills, with a track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience ...

quantitative modelling, software engineering, or applied research. Strong software engineering skills, with a track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience ...

modeling practices. Your qualifications and experience ESSENTIAL Pro at using SQL for data manipulation (PostgreSQL, MSSQL, Google BigQuery, SparkSQL, etc.) Strong coding skills in Python, R, Scala, C, Java, or JS Proven track record of using data manipulation and machine learning libraries Practical modelling & statistical analysis experience, ideally customer-related ...

observability within production environments Good knowledge of infrastructure security, including network segmentation, encryption, secrets management and audit logging Experience building automation and tooling using Python, Go, Bash or TypeScript Strong troubleshooting skills and experience taking ownership of production infrastructure and incidents The ability to make pragmatic technical decisions and clearly ...

deliver in real‐world settings (e.g., 1–3 years experience, internships, or substantial end‐to‐end projects). Strong programming skills in Python , with the ability to write readable, testable code and ship working solutions. Genuine curiosity about AI, LLMs, and the evolving analytics landscape , evidenced by personal projects, writing ...

using frameworks like Langchain, Semantic Kernel, AutoGen, and LangGraph. Developing and optimizing generative AI models, focusing on prompt engineering and LLMs. Writing production-grade Python applications. Managing version control with Git and using Docker for containerization. Knowledge of Databricks. Excellent communication skills, with the ability to effectively convey complex concepts ...

code reviews. Skills & Experience: Strong commercial experience with Ruby and Ruby on Rails. Mandatory professional experience with other backend technologies, such as Node.js, Python, Java, or .NET. Strong experience with PostgreSQL/MySQL and database optimisation. Experience with REST APIs, microservices, and distributed systems. Experience with Redis, Kafka, RabbitMQ ...

science, software engineering, or related field Professional experience as software engineer, preferably in a consultancy or industry setting Experience with multiple programming languages, including Python, Java, C++, Rust, or Go Experience with associated software development frameworks and tools such as pytest and OpenAPI Experience working in Unix/Linux environments ...

projects, including data analysis, extraction, transformation, and loading, data intelligence, data security and proven experience in their technologies (e.g. Spark, cloud-based ETL services, Python, Kafka, SQL, Airflow) You have experience in assessing the relevant data quality issues based on data sources & uses cases, and can integrate the relevant data ...

reinforcement learning) and evaluate their potential impact on products. Key Skills & Experience: Experience in machine learning, data science, or applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms ...

BERT, Llama, Gemini) and applying them to real‐world problems. Strong backend engineering expertise, including RESTful APIs and micro‐services design. Proficiency in Python/JavaScript and familiarity with AI frameworks (e.g., LangChain, PydanticAI). Solid understanding of cloud computing (AWS, GCP, or Azure), containerisation (Docker, Kubernetes), and Infrastructure ...

working experience in a similar role, with a focus on systems engineering, automation, and reliability. Proficiency in at least one programming language (e.g., Python, Go, Java, C#) and experience with scripting languages (e.g., Bash, PowerShell). Deep understanding of cloud computing platforms (e.g., AWS), the working and reliability constraints ...

Strong expertise in building dashboards and visualizations in Looker . Bonus: Practical experience or strong familiarity with integrating AI/ML models or leveraging Python/R for predictive analytics. Key Competencies: Exceptional Communicator: Strong written and verbal communication skills; able to distill complex, technical data into clear narratives ...

creating AIML capabilities for the organization. Ability to analyze escalations, prioritize, identify owners, track and facilitate blockers. Good understanding and Knowledge of chef/Python/Go and Cloud Networking, Essential Security principles and Processes. Excellent communication and interpersonal skills (verbal and written), ability to work effectively with a remote ...

platforms such as OpenAI, Anthropic, Azure AI, or similar technologies. Knowledge of vector databases, embeddings, prompt engineering, and AI application architecture. Experience with Python for AI/ML-related development. Exposure to MLOps practices and AI model deployment pipelines. Contributions to open-source projects or technical communities. Competitive Salary Bonus ...

technical and non-technical team members and stakeholders Hands-on experience and willingness to learn across frontend (TypeScript, React, Angular, Vue, Next.js, Tailwind), backend (Python, Node.js, Java/Spring, C#/.NET), and databases (SQL, NoSQL, vector databases, ETL) Experience with LLM frameworks, prompt orchestration, agent frameworks, MCPs, evaluation frameworks ...

Spark/Azure Databricks for distributed compute, memory optimization, and Delta Lake formats. Data Engineering Languages: Advanced proficiency in SQL (T-SQL, SparkSQL) and Python (PySpark). Security & Compliance: Direct experience implementing security controls for sensitive or identifiable data, utilizing Azure Key Vault, Azure Monitor, Log Analytics, and Microsoft Purview. ...

. Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands‐on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data architectures. Agile and DevOps delivery methodologies applied to data ...

skills. Technologies we work with Back end (primary): .NET/C#, REST APIs, event-driven and microservice architectures. Front end: React, TypeScript. Machine learning: Python, model training and serving, and the infrastructure to run models in production. Data & platform: SQL, plus experience designing batch and stream data-processing systems. Cloud ...